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    Global Wind Speed and Wave Height Extremes Derived from Long-Duration Satellite Records

    Source: Journal of Climate:;2018:;volume 032:;issue 001::page 109
    Author:
    Takbash, Alicia
    ,
    Young, Ian R.
    ,
    Breivik, Øyvind
    DOI: 10.1175/JCLI-D-18-0520.1
    Publisher: American Meteorological Society
    Abstract: The application of extreme-value analysis to long-duration (30 year) global altimeter and radiometer datasets is considered. In contrast to previous extreme-value analyses of satellite data, the dataset is sufficiently long to enable a peaks over threshold analysis to be undertaken. When applied to altimeter data for wind speed and significant wave height, this analysis produces values consistent with buoy validation data and previous numerical model reanalysis datasets. The spatial distributions produced are also consistent with the model reanalysis data. However, the altimeter data shows much greater finescale structure for wind speed, which is consistent with known tropical cyclone activity. The greater data density provided by radiometer measurements offers the potential to address altimeter undersampling. However, issues associated with the radiometer?s inability to measure wind speed in heavy rain events appears to create an unacceptable ?fair weather? bias at extreme wind speeds. This renders the radiometer data of wind speed largely unusable for the investigation of wind speed extremes. The study also clearly demonstrates the limitations of the initial distribution method for extreme-value analysis, which is heavily biased by mean conditions.
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      Global Wind Speed and Wave Height Extremes Derived from Long-Duration Satellite Records

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4262766
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    contributor authorTakbash, Alicia
    contributor authorYoung, Ian R.
    contributor authorBreivik, Øyvind
    date accessioned2019-09-22T09:04:28Z
    date available2019-09-22T09:04:28Z
    date copyright10/24/2018 12:00:00 AM
    date issued2018
    identifier otherJCLI-D-18-0520.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4262766
    description abstractThe application of extreme-value analysis to long-duration (30 year) global altimeter and radiometer datasets is considered. In contrast to previous extreme-value analyses of satellite data, the dataset is sufficiently long to enable a peaks over threshold analysis to be undertaken. When applied to altimeter data for wind speed and significant wave height, this analysis produces values consistent with buoy validation data and previous numerical model reanalysis datasets. The spatial distributions produced are also consistent with the model reanalysis data. However, the altimeter data shows much greater finescale structure for wind speed, which is consistent with known tropical cyclone activity. The greater data density provided by radiometer measurements offers the potential to address altimeter undersampling. However, issues associated with the radiometer?s inability to measure wind speed in heavy rain events appears to create an unacceptable ?fair weather? bias at extreme wind speeds. This renders the radiometer data of wind speed largely unusable for the investigation of wind speed extremes. The study also clearly demonstrates the limitations of the initial distribution method for extreme-value analysis, which is heavily biased by mean conditions.
    publisherAmerican Meteorological Society
    titleGlobal Wind Speed and Wave Height Extremes Derived from Long-Duration Satellite Records
    typeJournal Paper
    journal volume32
    journal issue1
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-18-0520.1
    journal fristpage109
    journal lastpage126
    treeJournal of Climate:;2018:;volume 032:;issue 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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